Visibility
Put process purpose, ownership, dependencies and workflow stages in one searchable place.
Explore the registry ↗
See how process records, workflow context and human-reviewed intelligence can help your team spot a practical next step.
Put process purpose, ownership, dependencies and workflow stages in one searchable place.
Explore the registry ↗Track cycle time and exceptions, then identify stages that may deserve a closer look.
Explore analysis ↗Give improvement ideas a priority, an owner, a status and a reviewable history.
Explore improvement ↗Upload a small, non-sensitive process-event CSV or try sample data. ProcessArc calculates average stage time and highlights the slowest stage for a human to review.
Prototype · NVIDIA option proposedUse the sample data or upload a compatible CSV to compare stage durations.
Analyzing your sample…
Connect process ownership, workflow context and improvement work in a single practical workspace. Start with structured records; extend with AI only when it helps.
Keep process categories, accountable owners, status, cycle-time targets and prerequisite relationships connected to each process record.
Compare cycle time with targets and review dated history and recorded exceptions to build a shared operational picture.
Record opportunities with an impact estimate, owner and priority, then track approval and implementation status.
Connect an optional local model to help summarize process context or propose investigation paths. A person decides whether anything happens next.
AI features are optional. Operational authority stays with your team.
Deployment models depend on security, infrastructure and data-residency requirements. The options below describe possible approaches, not current product guarantees.
Hosted application and managed SQL, subject to operational security and residency requirements.
ILLUSTRATIVE OPTIONRun application and database infrastructure in an environment operated by your organization.
ILLUSTRATIVE OPTIONKeep operational records in your environment while connecting to approved model services.
ILLUSTRATIVE OPTIONProcessArc's current application uses Laravel and SQL. NVIDIA technologies below are proposed architectural options; only the Process Insight Analyzer may show a “Built with NVIDIA NIM” badge when a configured NIM API successfully serves that analyzer request.
Proposed AI workflow analysis and model customization capabilities for approved enterprise use cases.
ARCHITECTURAL OPTION · NOT INTEGRATEDCould fit: model customization and evaluation in an approved AI workflow. Would need: validated models, data governance, infrastructure and licensing review.
Proposed hosted inference API path for the analyzer; optional and inactive until endpoint, model and server-side API key are configured.
ARCHITECTURAL OPTION · CONFIGURATION REQUIREDCould fit: generate concise wording from aggregated stage statistics. Would need: NVIDIA API access, endpoint/model validation, security review and usage controls.
Proposed GPU-accelerated data processing for sufficiently large event datasets.
ARCHITECTURAL OPTION · NOT INTEGRATEDCould fit: high-volume data aggregation. Would need: GPU-backed infrastructure, workload benchmarks, supported libraries and operational monitoring.
Proposed scalable model-serving layer for selected inference workloads.
ARCHITECTURAL OPTION · NOT INTEGRATEDCould fit: a managed model-serving tier behind controlled APIs. Would need: model-format validation, GPU or CPU serving capacity and security controls.
Configurable local model option used by the application when a local Ollama model is set up.
IMPLEMENTATION PATH · CONFIGURABLECould fit: local inference for process-specific draft recommendations. Would need: a locally installed model, sufficient resources, and model-license review.
These are proposed architectural options and do not imply completed integration, certification, endorsement or partnership.
NVIDIA NeMo, NVIDIA NIM, NVIDIA RAPIDS and NVIDIA Triton are presented as proposed architectural options. Except for analyzer requests that are actually served by a configured NVIDIA NIM endpoint, this product does not claim a completed integration. Nothing here implies NVIDIA certification, endorsement or partnership. NVIDIA and its product names are trademarks of NVIDIA Corporation. Actual deployment depends on technical validation, licensing and implementation.
No. The process registry, ownership, workflow, cycle-time and optimization features are useful without any model connection.
The demo stores sample records in its configured SQL database. For a deployment, storage location and retention depend on the environment selected by the organization operating the service. The public CSV analyzer does not retain uploaded files.
The application supports a configurable Ollama endpoint for local Qwen models. The analyzer can optionally be configured to use an OpenAI-compatible NVIDIA NIM endpoint, with local or rules-based fallbacks.
The NVIDIA technologies on this page are proposed options. Only successful calls to a configured NVIDIA NIM endpoint for the Process Insight Analyzer will be labelled as built with NIM for that tool.
Explore the workspace or talk with the ProcessArc team about your operational context.